TUE ADX/MACD Confluence V1.1Title: TUE ADX/MACD Confluence V1.1
Description:
This indicator is a revised version of the original ADX and MACD confluence tool. In version 1.1, a MACD Histogram filter has been added to enhance signal accuracy and reduce false entries.
Key Features:
ADX and MACD Confluence: Buy signals are generated when DI+ > DI- and MACD Line > Signal Line with Histogram > 0. Sell signals appear when DI- > DI+ and MACD Line < Signal Line with Histogram < 0.
Clear BUY/SELL Labels: Visual signal markers appear directly on the chart for easy identification.
Optional Candle Coloring: Candles change color based on signal direction (green for buy, red for sell).
Built-in Alert Conditions: Alerts are available for both buy and sell signals, making automation easy.
This indicator is ideal for traders looking to use ADX and MACD together for trend and momentum confirmation, especially when combined with price action strategies.
Let me know if you'd like to include credits, usage tips, or strategy suggestions.
Indicators and strategies
Morning Zone Marker — Sniper Trading System™️ Module📝 Short Description:
Visually defines the dealer setup range from 6 PM to 1 AM EST with subtle background shading and white boundary lines — a critical time window in the Sniper Trading System™️.
📄 Full Description (Long Description):
🔫 Morning Zone Marker — Sniper Trading System™️ Module
This indicator module is part of the Sniper Trading System™️ — a precision-based institutional trading framework built for traders who demand accuracy, structure, and edge.
🧠 Purpose
The Morning Zone Marker is engineered to visually isolate the critical dealer setup window that occurs from 6:00 PM to 1:00 AM EST each day. This time period often marks range-building and liquidity engineering by institutional dealers before the London and New York sessions open.
🎯 Key Benefits
Identifies potential false moves and Judas swings designed to trap retail traders.
Frames liquidity zones, consolidation ranges, and standard deviation boundaries for sniper entries.
Reinforces trading discipline by helping traders avoid premature entries outside sniper hours.
⚙️ How It Works
Uses time() to define the session from 6:00 PM to 1:00 AM EST.
Applies a light gray transparent background during this time.
Draws white vertical lines at the session’s start and end to simulate a clean "Morning Box" boundary.
✅ Sniper Trading System Integration
Integrates seamlessly with the full Sniper Trading System Indicator™️, including:
Dealer Range Mapping (2–8 PM EST)
Standard Deviation Target Zones
Morning Kill Zone Entries (2:15–5:00 AM EST)
New York Sniper Entries (7:15–10:00 AM EST)
Bias Candles, RSI Filters, and Liquidity Sweep Detection
Best used on 15-minute to 1-hour timeframes for Forex, Futures, and Indices trading.
USDTUSD Stochastic RSI [SAKANE]Release Note
■ Overview
The USDTUSD Stochastic RSI indicator visualizes shifts in market sentiment and liquidity by applying the Stochastic RSI to the USDT/USD price pair.
Rather than tracking the price of Bitcoin directly, this tool observes the momentum of USDT, a key intermediary in most crypto transactions, to detect early signals of trend reversals.
■ Background & Motivation
USDT exhibits two distinct characteristics:
Its credibility as a long-term store of value is limited.
Yet, it serves as one of the most liquid assets in the crypto space and is widely used as a trading base pair.
Because most BTC trades involve converting fiat into USDT and vice versa, USDT/USD frequently deviates slightly from its peg to USD.
These deviations—though subtle—often occur just before major shifts in the broader crypto market.
This indicator is designed to detect such moments of structural imbalance by applying momentum analysis to USDT itself.
■ Feature Highlights
Calculates RSI and Stochastic RSI on the USDT/USD closing price
Supports customizable smoothing via SMA or EMA
Background shading dynamically visualizes overheated or cooled market states (thresholds are adjustable)
Displayed in a separate pane, keeping it visually distinct from the price chart
■ Usage Insights
This indicator is based on an observable pattern:
When the Stochastic RSI bottoms out, Bitcoin tends to form a price bottom shortly afterward
Conversely, when the indicator peaks, Bitcoin tends to top out with a slight delay
Since USDT acts as a gateway for capital in and out of the market, changes in its momentum often foreshadow turning points in BTC.
This allows traders to anticipate shifts in sentiment rather than merely reacting to them.
■ Unique Value Proposition
Unlike conventional price-based indicators, this tool offers a structural perspective.
It focuses on USDT as a mechanism of liquidity flow, making it possible to detect the "hidden rhythm" of the crypto market.
In that sense, this is not just a technical tool, but an entry point into market microstructure analysis—allowing users to read the market’s intentions rather than just its movements.
■ Practical Tips
Look for reversals in momentum as potential BTC entry or exit points.
Overlay this indicator with the BTC chart to compare timing and divergence.
Combine with other tools such as on-chain data or macro indicators for comprehensive analysis.
■ Final Thoughts
USDTUSD Stochastic RSI is designed with the belief that the most important market signals often come from what drives the price, not the price itself.
By tuning into the “heartbeat” of capital flow, this indicator sheds light on market dynamics that would otherwise remain unseen.
We hope it proves useful in your trading and research.
Bull Market Support Band20 Week SMA & 21 Week EMA band, indicator of rough overall sentiment for the market.
EMA크로스The EMA Cross strategy is a popular technical analysis method used to identify trend reversals. It involves two Exponential Moving Averages (EMAs) – a short-term and a long-term EMA. A Buy signal is generated when the short-term EMA crosses above the long-term EMA, indicating upward momentum (also called a Golden Cross). A Sell signal occurs when the short-term EMA crosses below the long-term EMA, signaling a potential downtrend (Dead Cross). This crossover technique helps traders make entry and exit decisions, especially in trending markets, but it may generate false signals in sideways or choppy markets.
MA Ribbon 6 ALMAAdded moving averages to the basic Moving Average Ribbon indicator. This version includes ALMA, HMA, and VWMA.
High/Low Digit SumNAMAN SHAH
Its about the high low total of a candle only for gold where if highs total is 9 then its a chance that it will not break the high for a long time and it will be a good opportunity for short
And vise versa
Arsh time
The Macro indicator is designed to provide a high-level view of market trends by analyzing broader time frame data, such as weekly or monthly price action, volume, or macroeconomic sentiment overlays. This indicator helps traders stay aligned with the dominant trend by filtering out noise from lower time frames. It is particularly useful for swing and position traders who want to trade in the direction of macro momentum.
Arsh time
The Macro indicator is designed to provide a high-level view of market trends by analyzing broader time frame data, such as weekly or monthly price action, volume, or macroeconomic sentiment overlays. This indicator helps traders stay aligned with the dominant trend by filtering out noise from lower time frames. It is particularly useful for swing and position traders who want to trade in the direction of macro momentum.
DXY Monthly Return (+3M Lead)This indicator calculates the rolling monthly return (based on 21 trading days) for the U.S. Dollar Index (DXY), applying a +3-month forward shift (lead) to the series.
It is designed to help visualize the leading effect of USD strength or weakness on other macro-sensitive assets — particularly Bitcoin and crypto markets, which often react to changes in global dollar liquidity with a lag of approximately 10 weeks.
Note: This script does not invert the values directly. To match the inverted Y-axis visual used by Steno Research — where negative USD returns are displayed at the top — simply right-click the Y-axis in the chart panel and select “Invert Scale.”
💡 Use this tool for macro trend analysis, early crypto signal generation, or studying inverse correlations between USD and risk assets.
Source logic: Steno Research, Bloomberg, Macrobond.
ATR - Zakres mocy zmiennościATR - Volatility Strength Indicator
Description
Analytical tool using Average True Range (ATR) to identify optimal volatility conditions for trading strategies. Visualizes three key market volatility zones.
Key Features
- ATR chart with automatic coloring
- Threshold lines (min/max)
- Zone fillings :
- Red - "Dead Zone" (too low volatility)
- Gray - "Sweet Spot" (optimal volatility)
- Information panel with current values
Trading Application
1. Too low volatility (below MIN):
- Price often moves sideways
- Low probability of strong momentum
- "Don't trade - market is sleeping"
2. Optimal volatility (between MIN-MAX):
- Perfect conditions for scalping
- Price movements have adequate range
- "Trader's goldilocks zone"
3. Extreme volatility (above MAX):
- Market may be overextended
- High risk of violent reversals
- "Watch your stop loss - extreme conditions"
Configuration Parameters
| Parameter | Default Value | Description |
|----------|------------------|------|
| ATR Period | 14 | Calculation period length |
| Min Volatility | 20 | Lower useful volatility threshold |
| Max Volatility | 50 | Upper safe volatility limit |
Why It Works
The indicator helps avoid:
✔️ Trading in flat markets (no momentum)
✔️ Positions during extreme conditions (risk of loss)
✔️ Directionless trading
Recommended For:
- Scalpers (5M-15M)
- Day Traders (1H-4H)
- Volatility-based strategies
Pro Tips:
1. For Forex (EURUSD):
- MIN=15-25, MAX=40-60
- Works best on 15M/1H
2. For Stocks/Indices:
- Increase MAX by 20-30%
- Check D1 ATR for context
3. For Cryptocurrencies:
- Use shorter period (7-10)
- Raise thresholds by 50-100%
NOTE: Always adjust default values to:
- Your strategy
- Trading instrument
- Timeframe
PRO TIP: For crypto, reduce ATR period to 7-10 due to higher volatility!
Key improvements:
1. Maintained all formatting tags
2. Translated trading concepts accurately
3. Kept the same structure for consistency
4. Added proper emphasis for warnings/tips
5. Used trader-friendly terminology
Multiple Moving AverageSeven moving averages, to assess momentum in short term, medium term and long term, with ability to change periods, color and moving average type. Useful in pullback trading
RSI(2) Pullback StrategyLarry Connors and Cesar Alvarez found through extensive testing that:
RSI(2) < 10 often indicates short-term oversold conditions in strong uptrends.
RSI(2) > 90 indicates short-term overbought.
In a strong uptrend, when RSI(2) drops below 10, it often means a short pullback — a buy opportunity.
Breakout Pro + ADX/Volume Filter🚀 Breakout Pro: ADX + Volume + RSI Filter
High-Probability Breakout System with Trend & Volume Confirmation
🔥 Why This Indicator Stands Out
A multi-filter breakout strategy designed for precision:
✅ ADX Trend Filter (Only trade when ADX > 25 = strong trend)
✅ Volume Spike Confirmation (2x avg volume = valid breakout)
✅ Auto Risk-Reward Tools (TP/SL based on breakout range)
✅ Retest Zones (Optimal secondary entries)
⚠️ Needs Upgrade! Help us add RSI momentum filters to reduce false signals!
📌 How It Works
Buy Signal (▲ Green Arrow):
Breakout above 20-period high
Strong ADX + high volume + bullish trend
Sell Signal (▼ Red Arrow):
Breakout below 20-period low
Strong ADX + high volume + bearish trend
Retest Levels (Blue/Orange Circles):
Potential low-risk re-entry zones
💻 Open-Source Collaboration
We’re inviting the TradingView community to enhance this indicator by:
pine
// TO-DO: Add RSI Momentum Filters
// 1. Avoid breakouts when RSI is overbought (>70) or oversold (<30)
// 2. RSI divergence confirmation
// Contributors will be credited!
🎯 Perfect For
Day traders & swing traders (stocks, forex, crypto)
Those who trade breakouts with volume confirmation
Developers who want to collaborate on open-source tools
📢 Note: This indicator is FREE. If you find it useful, support us with a like & share!
🔗 Tags:
#BreakoutTrading #ADX #VolumeSpike #RSI #PineScript #TradingStrategy
Arsh time
The Macro indicator is designed to provide a high-level view of market trends by analyzing broader time frame data, such as weekly or monthly price action, volume, or macroeconomic sentiment overlays. This indicator helps traders stay aligned with the dominant trend by filtering out noise from lower time frames. It is particularly useful for swing and position traders who want to trade in the direction of macro momentum.
Momentum TrackerDescription
To screen for momentum movers, one can filter for stocks that have made a noticeable move over a set period. This initial move defines the momentum or swing move. From this list of candidates, we can create a watchlist by selecting those showing a momentum pause, such as a pullback or consolidation, which later could set up for a continuation.
Momentum = Magnitude × Time
This Momentum Tracker indicator serves as a study tool to visualize when stocks historically met these momentum conditions. It marks on the chart where a stock would have appeared on the screener, allowing us to review past momentum patterns and screener requirements. The indicator measures momentum in three different ways:
Normalized Momentum
Identifies when the current price reaches a new high or low compared to a historical window. This is the most standardized measurement and adapts well across markets.
Normalized = Current Price ≥ Maximum Price in Lookback
Normalized = Current Price ≤ Minimum Price in Lookback
Relative Momentum
Measures the percentage difference between a fast and a slow moving average. This method helps capture acceleration, the rate at which momentum is building over time.
Relative = |Fast MA − Slow MA| ÷ Slow MA × 100
Absolute Momentum
Measures how far price has moved from the highest or lowest point within a defined lookback period.
Absolute = (Current Price − Lowest Price) ÷ Lowest Price × 100
Absolute = (Highest Price − Current Price) ÷ Highest Price × 100
Customization
The tool is customizable in terms of lookback period and thresholds to accommodate different trading styles and timeframes, allowing users to set criteria that align with specific hold times and momentum requirements. While the various calculations can be enabled, the tool is best used in isolation of each to visualize different momentum conditions.
VVIX Z-Score Signal with Bidirectional ROC HighlightUsing VVIX as a leading indicator, Z scores, rate of change to front run the SPY
SuperBollingerTrend MACD ADXWrote this, but it didn't work so well
I used MACD ADX and SuperBollingerTrend
ryantrad3s session highs and lowsThis indicator allows you find London Session and Asia Session highs and lows without marking them yourself. This indicator can also help you find good draws on liquidity for the day and potential highs and lows you can target during that trading day. I recommend trading NQ and ES with this indicator because that's what I seen it work best with. The blue lines are London Session high and low and the red lines are Asia Session high and low. Hope this can save you time marking out your chart before market open.
Moving Average Convergence Divergenceindicator(title="Moving Average Convergence Divergence", shorttitle="MACD+", timeframe="", timeframe_gaps=true)
// === Input Parameters ===
fast_length = input(title = "Fast Length", defval = 12)
slow_length = input(title = "Slow Length", defval = 26)
src = input(title = "Source", defval = close)
signal_length = input.int(title = "Signal Smoothing", minval = 1, maxval = 50, defval = 9, display = display.data_window)
sma_source = input.string(title = "Oscillator MA Type", defval = "EMA", options = , display = display.data_window)
sma_signal = input.string(title = "Signal Line MA Type", defval = "EMA", options = , display = display.data_window)
// === MACD Calculation ===
fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd = fast_ma - slow_ma
signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
hist = macd - signal
// === Alerts ===
alertcondition(hist >= 0 and hist < 0, title = 'Rising to falling', message = 'The MACD histogram switched from a rising to falling state')
alertcondition(hist <= 0 and hist > 0, title = 'Falling to rising', message = 'The MACD histogram switched from a falling to rising state')
// === Plots ===
hline(0, "Zero Line", color = color.new(#787B86, 50))
plot(hist, title = "Histogram", style = plot.style_columns, color = (hist >= 0 ? (hist < hist ? #26A69A : #B2DFDB) : (hist < hist ? #FFCDD2 : #FF5252)))
// MACD 線顏色根據是否高於 0 自動切換
macd_color = macd >= 0 ? color.green : color.red
plot(macd, title = "MACD", color = macd_color)
plot(signal, title = "Signal", color = #FF6D00)